Boosting coverage-based fault localization via graph-based representation learning Y Lou, Q Zhu, J Dong, X Li, Z Sun, D Hao, L Zhang, L Zhang Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 82 | 2021 |
MarginGAN: adversarial training in semi-supervised learning J Dong, T Lin Advances in neural information processing systems 32, 2019 | 58 | 2019 |
FIRA: fine-grained graph-based code change representation for automated commit message generation J Dong, Y Lou, Q Zhu, Z Sun, Z Li, W Zhang, D Hao Proceedings of the 44th International Conference on Software Engineering …, 2022 | 49 | 2022 |
Recommending good first issues in GitHub OSS projects W Xiao, H He, W Xu, X Tan, J Dong, M Zhou Proceedings of the 44th International Conference on Software Engineering …, 2022 | 30 | 2022 |
Cost-effective testing of a deep learning model through input reduction J Zhou, F Li, J Dong, H Zhang, D Hao 2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020 | 23 | 2020 |
Revisiting Learning-based Commit Message Generation J Dong, Y Lou, D Hao, L Tan 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 3 | 2023 |
Merge Conflict Resolution: Classification or Generation? J Dong, Q Zhu, Z Sun, Y Lou, D Hao 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 1 | 2023 |
What Can We Learn from Quality Assurance Badges in Open-Source Software? F Li, Y Lou, X Tan, Z Chen, J Dong, Y Li, X Wang, D Hao, L Zhang Science China Information Sciences, 2022 | 1 | 2022 |
SRRTA: regression testing acceleration via state reuse J Dong, Y Lou, D Hao Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | | 2020 |